alkzar90 commited on
Commit
9910711
1 Parent(s): 29f92bc

🍻 cheers

Browse files
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 15.0,
3
+ "eval_accuracy": 0.8058823529411765,
4
+ "eval_loss": 0.6480256915092468,
5
+ "eval_runtime": 1.4895,
6
+ "eval_samples_per_second": 114.129,
7
+ "eval_steps_per_second": 14.77,
8
+ "total_flos": 1.6866433871220326e+18,
9
+ "train_loss": 0.11297949704276773,
10
+ "train_runtime": 502.5996,
11
+ "train_samples_per_second": 43.305,
12
+ "train_steps_per_second": 2.716
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 15.0,
3
+ "eval_accuracy": 0.8058823529411765,
4
+ "eval_loss": 0.6480256915092468,
5
+ "eval_runtime": 1.4895,
6
+ "eval_samples_per_second": 114.129,
7
+ "eval_steps_per_second": 14.77
8
+ }
runs/Aug02_05-24-55_cdbc38a7843c/events.out.tfevents.1659418442.cdbc38a7843c.73.7 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fa7f51636341d3b317d05b3181e8ca4960b3513cf9f8eea6322856753103e131
3
+ size 363
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 15.0,
3
+ "total_flos": 1.6866433871220326e+18,
4
+ "train_loss": 0.11297949704276773,
5
+ "train_runtime": 502.5996,
6
+ "train_samples_per_second": 43.305,
7
+ "train_steps_per_second": 2.716
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,958 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6480256915092468,
3
+ "best_model_checkpoint": "./croupier-creature-classifier/checkpoint-100",
4
+ "epoch": 15.0,
5
+ "global_step": 1365,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.11,
12
+ "learning_rate": 0.00019853479853479855,
13
+ "loss": 0.2843,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.22,
18
+ "learning_rate": 0.0001970695970695971,
19
+ "loss": 0.3895,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.33,
24
+ "learning_rate": 0.00019560439560439562,
25
+ "loss": 0.3592,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.44,
30
+ "learning_rate": 0.00019413919413919413,
31
+ "loss": 0.3891,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.55,
36
+ "learning_rate": 0.00019267399267399268,
37
+ "loss": 0.2862,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.66,
42
+ "learning_rate": 0.00019120879120879122,
43
+ "loss": 0.4721,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.77,
48
+ "learning_rate": 0.00018974358974358974,
49
+ "loss": 0.4275,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.88,
54
+ "learning_rate": 0.00018827838827838828,
55
+ "loss": 0.2297,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.99,
60
+ "learning_rate": 0.00018681318681318683,
61
+ "loss": 0.3175,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 1.1,
66
+ "learning_rate": 0.00018534798534798537,
67
+ "loss": 0.1967,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 1.1,
72
+ "eval_accuracy": 0.8058823529411765,
73
+ "eval_loss": 0.6480256915092468,
74
+ "eval_runtime": 1.3833,
75
+ "eval_samples_per_second": 122.894,
76
+ "eval_steps_per_second": 15.904,
77
+ "step": 100
78
+ },
79
+ {
80
+ "epoch": 1.21,
81
+ "learning_rate": 0.0001838827838827839,
82
+ "loss": 0.2783,
83
+ "step": 110
84
+ },
85
+ {
86
+ "epoch": 1.32,
87
+ "learning_rate": 0.0001824175824175824,
88
+ "loss": 0.3196,
89
+ "step": 120
90
+ },
91
+ {
92
+ "epoch": 1.43,
93
+ "learning_rate": 0.00018095238095238095,
94
+ "loss": 0.2813,
95
+ "step": 130
96
+ },
97
+ {
98
+ "epoch": 1.54,
99
+ "learning_rate": 0.0001794871794871795,
100
+ "loss": 0.2686,
101
+ "step": 140
102
+ },
103
+ {
104
+ "epoch": 1.65,
105
+ "learning_rate": 0.00017802197802197802,
106
+ "loss": 0.2325,
107
+ "step": 150
108
+ },
109
+ {
110
+ "epoch": 1.76,
111
+ "learning_rate": 0.00017655677655677656,
112
+ "loss": 0.3969,
113
+ "step": 160
114
+ },
115
+ {
116
+ "epoch": 1.87,
117
+ "learning_rate": 0.0001750915750915751,
118
+ "loss": 0.1645,
119
+ "step": 170
120
+ },
121
+ {
122
+ "epoch": 1.98,
123
+ "learning_rate": 0.00017362637362637365,
124
+ "loss": 0.3043,
125
+ "step": 180
126
+ },
127
+ {
128
+ "epoch": 2.09,
129
+ "learning_rate": 0.00017216117216117217,
130
+ "loss": 0.1483,
131
+ "step": 190
132
+ },
133
+ {
134
+ "epoch": 2.2,
135
+ "learning_rate": 0.00017069597069597068,
136
+ "loss": 0.1047,
137
+ "step": 200
138
+ },
139
+ {
140
+ "epoch": 2.2,
141
+ "eval_accuracy": 0.7529411764705882,
142
+ "eval_loss": 0.8702762126922607,
143
+ "eval_runtime": 1.4808,
144
+ "eval_samples_per_second": 114.8,
145
+ "eval_steps_per_second": 14.856,
146
+ "step": 200
147
+ },
148
+ {
149
+ "epoch": 2.31,
150
+ "learning_rate": 0.00016923076923076923,
151
+ "loss": 0.1261,
152
+ "step": 210
153
+ },
154
+ {
155
+ "epoch": 2.42,
156
+ "learning_rate": 0.00016776556776556777,
157
+ "loss": 0.282,
158
+ "step": 220
159
+ },
160
+ {
161
+ "epoch": 2.53,
162
+ "learning_rate": 0.00016630036630036632,
163
+ "loss": 0.1773,
164
+ "step": 230
165
+ },
166
+ {
167
+ "epoch": 2.64,
168
+ "learning_rate": 0.00016483516483516484,
169
+ "loss": 0.1566,
170
+ "step": 240
171
+ },
172
+ {
173
+ "epoch": 2.75,
174
+ "learning_rate": 0.00016336996336996338,
175
+ "loss": 0.2896,
176
+ "step": 250
177
+ },
178
+ {
179
+ "epoch": 2.86,
180
+ "learning_rate": 0.00016190476190476192,
181
+ "loss": 0.2573,
182
+ "step": 260
183
+ },
184
+ {
185
+ "epoch": 2.97,
186
+ "learning_rate": 0.00016043956043956044,
187
+ "loss": 0.1943,
188
+ "step": 270
189
+ },
190
+ {
191
+ "epoch": 3.08,
192
+ "learning_rate": 0.00015897435897435896,
193
+ "loss": 0.1993,
194
+ "step": 280
195
+ },
196
+ {
197
+ "epoch": 3.19,
198
+ "learning_rate": 0.0001575091575091575,
199
+ "loss": 0.1106,
200
+ "step": 290
201
+ },
202
+ {
203
+ "epoch": 3.3,
204
+ "learning_rate": 0.00015604395604395605,
205
+ "loss": 0.2249,
206
+ "step": 300
207
+ },
208
+ {
209
+ "epoch": 3.3,
210
+ "eval_accuracy": 0.7588235294117647,
211
+ "eval_loss": 0.9538877606391907,
212
+ "eval_runtime": 1.4679,
213
+ "eval_samples_per_second": 115.811,
214
+ "eval_steps_per_second": 14.987,
215
+ "step": 300
216
+ },
217
+ {
218
+ "epoch": 3.41,
219
+ "learning_rate": 0.0001545787545787546,
220
+ "loss": 0.2232,
221
+ "step": 310
222
+ },
223
+ {
224
+ "epoch": 3.52,
225
+ "learning_rate": 0.0001531135531135531,
226
+ "loss": 0.084,
227
+ "step": 320
228
+ },
229
+ {
230
+ "epoch": 3.63,
231
+ "learning_rate": 0.00015164835164835165,
232
+ "loss": 0.1352,
233
+ "step": 330
234
+ },
235
+ {
236
+ "epoch": 3.74,
237
+ "learning_rate": 0.0001501831501831502,
238
+ "loss": 0.1632,
239
+ "step": 340
240
+ },
241
+ {
242
+ "epoch": 3.85,
243
+ "learning_rate": 0.00014871794871794872,
244
+ "loss": 0.2161,
245
+ "step": 350
246
+ },
247
+ {
248
+ "epoch": 3.96,
249
+ "learning_rate": 0.00014725274725274726,
250
+ "loss": 0.1823,
251
+ "step": 360
252
+ },
253
+ {
254
+ "epoch": 4.07,
255
+ "learning_rate": 0.00014578754578754578,
256
+ "loss": 0.0965,
257
+ "step": 370
258
+ },
259
+ {
260
+ "epoch": 4.18,
261
+ "learning_rate": 0.00014432234432234432,
262
+ "loss": 0.135,
263
+ "step": 380
264
+ },
265
+ {
266
+ "epoch": 4.29,
267
+ "learning_rate": 0.00014285714285714287,
268
+ "loss": 0.0782,
269
+ "step": 390
270
+ },
271
+ {
272
+ "epoch": 4.4,
273
+ "learning_rate": 0.0001413919413919414,
274
+ "loss": 0.0984,
275
+ "step": 400
276
+ },
277
+ {
278
+ "epoch": 4.4,
279
+ "eval_accuracy": 0.7529411764705882,
280
+ "eval_loss": 0.9318849444389343,
281
+ "eval_runtime": 1.4691,
282
+ "eval_samples_per_second": 115.719,
283
+ "eval_steps_per_second": 14.975,
284
+ "step": 400
285
+ },
286
+ {
287
+ "epoch": 4.51,
288
+ "learning_rate": 0.00013992673992673993,
289
+ "loss": 0.1553,
290
+ "step": 410
291
+ },
292
+ {
293
+ "epoch": 4.62,
294
+ "learning_rate": 0.00013846153846153847,
295
+ "loss": 0.0954,
296
+ "step": 420
297
+ },
298
+ {
299
+ "epoch": 4.73,
300
+ "learning_rate": 0.000136996336996337,
301
+ "loss": 0.1225,
302
+ "step": 430
303
+ },
304
+ {
305
+ "epoch": 4.84,
306
+ "learning_rate": 0.00013553113553113554,
307
+ "loss": 0.2155,
308
+ "step": 440
309
+ },
310
+ {
311
+ "epoch": 4.95,
312
+ "learning_rate": 0.00013406593406593405,
313
+ "loss": 0.1496,
314
+ "step": 450
315
+ },
316
+ {
317
+ "epoch": 5.05,
318
+ "learning_rate": 0.0001326007326007326,
319
+ "loss": 0.0837,
320
+ "step": 460
321
+ },
322
+ {
323
+ "epoch": 5.16,
324
+ "learning_rate": 0.00013113553113553114,
325
+ "loss": 0.0693,
326
+ "step": 470
327
+ },
328
+ {
329
+ "epoch": 5.27,
330
+ "learning_rate": 0.0001296703296703297,
331
+ "loss": 0.08,
332
+ "step": 480
333
+ },
334
+ {
335
+ "epoch": 5.38,
336
+ "learning_rate": 0.00012820512820512823,
337
+ "loss": 0.0989,
338
+ "step": 490
339
+ },
340
+ {
341
+ "epoch": 5.49,
342
+ "learning_rate": 0.00012673992673992675,
343
+ "loss": 0.086,
344
+ "step": 500
345
+ },
346
+ {
347
+ "epoch": 5.49,
348
+ "eval_accuracy": 0.7705882352941177,
349
+ "eval_loss": 0.9061105251312256,
350
+ "eval_runtime": 1.4763,
351
+ "eval_samples_per_second": 115.156,
352
+ "eval_steps_per_second": 14.903,
353
+ "step": 500
354
+ },
355
+ {
356
+ "epoch": 5.6,
357
+ "learning_rate": 0.00012527472527472527,
358
+ "loss": 0.1005,
359
+ "step": 510
360
+ },
361
+ {
362
+ "epoch": 5.71,
363
+ "learning_rate": 0.0001238095238095238,
364
+ "loss": 0.0685,
365
+ "step": 520
366
+ },
367
+ {
368
+ "epoch": 5.82,
369
+ "learning_rate": 0.00012234432234432236,
370
+ "loss": 0.1174,
371
+ "step": 530
372
+ },
373
+ {
374
+ "epoch": 5.93,
375
+ "learning_rate": 0.00012087912087912087,
376
+ "loss": 0.1728,
377
+ "step": 540
378
+ },
379
+ {
380
+ "epoch": 6.04,
381
+ "learning_rate": 0.00011941391941391942,
382
+ "loss": 0.086,
383
+ "step": 550
384
+ },
385
+ {
386
+ "epoch": 6.15,
387
+ "learning_rate": 0.00011794871794871796,
388
+ "loss": 0.0738,
389
+ "step": 560
390
+ },
391
+ {
392
+ "epoch": 6.26,
393
+ "learning_rate": 0.0001164835164835165,
394
+ "loss": 0.04,
395
+ "step": 570
396
+ },
397
+ {
398
+ "epoch": 6.37,
399
+ "learning_rate": 0.00011501831501831501,
400
+ "loss": 0.1145,
401
+ "step": 580
402
+ },
403
+ {
404
+ "epoch": 6.48,
405
+ "learning_rate": 0.00011355311355311356,
406
+ "loss": 0.0571,
407
+ "step": 590
408
+ },
409
+ {
410
+ "epoch": 6.59,
411
+ "learning_rate": 0.0001120879120879121,
412
+ "loss": 0.1164,
413
+ "step": 600
414
+ },
415
+ {
416
+ "epoch": 6.59,
417
+ "eval_accuracy": 0.8176470588235294,
418
+ "eval_loss": 0.7493334412574768,
419
+ "eval_runtime": 1.4541,
420
+ "eval_samples_per_second": 116.908,
421
+ "eval_steps_per_second": 15.129,
422
+ "step": 600
423
+ },
424
+ {
425
+ "epoch": 6.7,
426
+ "learning_rate": 0.00011062271062271063,
427
+ "loss": 0.0479,
428
+ "step": 610
429
+ },
430
+ {
431
+ "epoch": 6.81,
432
+ "learning_rate": 0.00010915750915750915,
433
+ "loss": 0.0899,
434
+ "step": 620
435
+ },
436
+ {
437
+ "epoch": 6.92,
438
+ "learning_rate": 0.0001076923076923077,
439
+ "loss": 0.0746,
440
+ "step": 630
441
+ },
442
+ {
443
+ "epoch": 7.03,
444
+ "learning_rate": 0.00010622710622710624,
445
+ "loss": 0.0826,
446
+ "step": 640
447
+ },
448
+ {
449
+ "epoch": 7.14,
450
+ "learning_rate": 0.00010476190476190477,
451
+ "loss": 0.0382,
452
+ "step": 650
453
+ },
454
+ {
455
+ "epoch": 7.25,
456
+ "learning_rate": 0.00010329670329670331,
457
+ "loss": 0.0724,
458
+ "step": 660
459
+ },
460
+ {
461
+ "epoch": 7.36,
462
+ "learning_rate": 0.00010183150183150183,
463
+ "loss": 0.036,
464
+ "step": 670
465
+ },
466
+ {
467
+ "epoch": 7.47,
468
+ "learning_rate": 0.00010036630036630038,
469
+ "loss": 0.0579,
470
+ "step": 680
471
+ },
472
+ {
473
+ "epoch": 7.58,
474
+ "learning_rate": 9.89010989010989e-05,
475
+ "loss": 0.089,
476
+ "step": 690
477
+ },
478
+ {
479
+ "epoch": 7.69,
480
+ "learning_rate": 9.743589743589744e-05,
481
+ "loss": 0.0518,
482
+ "step": 700
483
+ },
484
+ {
485
+ "epoch": 7.69,
486
+ "eval_accuracy": 0.7764705882352941,
487
+ "eval_loss": 0.8781054615974426,
488
+ "eval_runtime": 1.4674,
489
+ "eval_samples_per_second": 115.852,
490
+ "eval_steps_per_second": 14.993,
491
+ "step": 700
492
+ },
493
+ {
494
+ "epoch": 7.8,
495
+ "learning_rate": 9.597069597069598e-05,
496
+ "loss": 0.0603,
497
+ "step": 710
498
+ },
499
+ {
500
+ "epoch": 7.91,
501
+ "learning_rate": 9.450549450549451e-05,
502
+ "loss": 0.0565,
503
+ "step": 720
504
+ },
505
+ {
506
+ "epoch": 8.02,
507
+ "learning_rate": 9.304029304029304e-05,
508
+ "loss": 0.0689,
509
+ "step": 730
510
+ },
511
+ {
512
+ "epoch": 8.13,
513
+ "learning_rate": 9.157509157509158e-05,
514
+ "loss": 0.0295,
515
+ "step": 740
516
+ },
517
+ {
518
+ "epoch": 8.24,
519
+ "learning_rate": 9.010989010989012e-05,
520
+ "loss": 0.0555,
521
+ "step": 750
522
+ },
523
+ {
524
+ "epoch": 8.35,
525
+ "learning_rate": 8.864468864468865e-05,
526
+ "loss": 0.0501,
527
+ "step": 760
528
+ },
529
+ {
530
+ "epoch": 8.46,
531
+ "learning_rate": 8.717948717948718e-05,
532
+ "loss": 0.0657,
533
+ "step": 770
534
+ },
535
+ {
536
+ "epoch": 8.57,
537
+ "learning_rate": 8.571428571428571e-05,
538
+ "loss": 0.0479,
539
+ "step": 780
540
+ },
541
+ {
542
+ "epoch": 8.68,
543
+ "learning_rate": 8.424908424908426e-05,
544
+ "loss": 0.0665,
545
+ "step": 790
546
+ },
547
+ {
548
+ "epoch": 8.79,
549
+ "learning_rate": 8.278388278388279e-05,
550
+ "loss": 0.0458,
551
+ "step": 800
552
+ },
553
+ {
554
+ "epoch": 8.79,
555
+ "eval_accuracy": 0.7823529411764706,
556
+ "eval_loss": 0.8851077556610107,
557
+ "eval_runtime": 1.4711,
558
+ "eval_samples_per_second": 115.561,
559
+ "eval_steps_per_second": 14.955,
560
+ "step": 800
561
+ },
562
+ {
563
+ "epoch": 8.9,
564
+ "learning_rate": 8.131868131868132e-05,
565
+ "loss": 0.0704,
566
+ "step": 810
567
+ },
568
+ {
569
+ "epoch": 9.01,
570
+ "learning_rate": 7.985347985347986e-05,
571
+ "loss": 0.0779,
572
+ "step": 820
573
+ },
574
+ {
575
+ "epoch": 9.12,
576
+ "learning_rate": 7.83882783882784e-05,
577
+ "loss": 0.0575,
578
+ "step": 830
579
+ },
580
+ {
581
+ "epoch": 9.23,
582
+ "learning_rate": 7.692307692307693e-05,
583
+ "loss": 0.0541,
584
+ "step": 840
585
+ },
586
+ {
587
+ "epoch": 9.34,
588
+ "learning_rate": 7.545787545787546e-05,
589
+ "loss": 0.0413,
590
+ "step": 850
591
+ },
592
+ {
593
+ "epoch": 9.45,
594
+ "learning_rate": 7.3992673992674e-05,
595
+ "loss": 0.0367,
596
+ "step": 860
597
+ },
598
+ {
599
+ "epoch": 9.56,
600
+ "learning_rate": 7.252747252747253e-05,
601
+ "loss": 0.0857,
602
+ "step": 870
603
+ },
604
+ {
605
+ "epoch": 9.67,
606
+ "learning_rate": 7.106227106227106e-05,
607
+ "loss": 0.061,
608
+ "step": 880
609
+ },
610
+ {
611
+ "epoch": 9.78,
612
+ "learning_rate": 6.95970695970696e-05,
613
+ "loss": 0.0408,
614
+ "step": 890
615
+ },
616
+ {
617
+ "epoch": 9.89,
618
+ "learning_rate": 6.813186813186814e-05,
619
+ "loss": 0.0521,
620
+ "step": 900
621
+ },
622
+ {
623
+ "epoch": 9.89,
624
+ "eval_accuracy": 0.788235294117647,
625
+ "eval_loss": 0.9448409080505371,
626
+ "eval_runtime": 1.3677,
627
+ "eval_samples_per_second": 124.3,
628
+ "eval_steps_per_second": 16.086,
629
+ "step": 900
630
+ },
631
+ {
632
+ "epoch": 10.0,
633
+ "learning_rate": 6.666666666666667e-05,
634
+ "loss": 0.0452,
635
+ "step": 910
636
+ },
637
+ {
638
+ "epoch": 10.11,
639
+ "learning_rate": 6.52014652014652e-05,
640
+ "loss": 0.0573,
641
+ "step": 920
642
+ },
643
+ {
644
+ "epoch": 10.22,
645
+ "learning_rate": 6.373626373626373e-05,
646
+ "loss": 0.0333,
647
+ "step": 930
648
+ },
649
+ {
650
+ "epoch": 10.33,
651
+ "learning_rate": 6.227106227106228e-05,
652
+ "loss": 0.035,
653
+ "step": 940
654
+ },
655
+ {
656
+ "epoch": 10.44,
657
+ "learning_rate": 6.08058608058608e-05,
658
+ "loss": 0.0513,
659
+ "step": 950
660
+ },
661
+ {
662
+ "epoch": 10.55,
663
+ "learning_rate": 5.9340659340659345e-05,
664
+ "loss": 0.0412,
665
+ "step": 960
666
+ },
667
+ {
668
+ "epoch": 10.66,
669
+ "learning_rate": 5.787545787545788e-05,
670
+ "loss": 0.044,
671
+ "step": 970
672
+ },
673
+ {
674
+ "epoch": 10.77,
675
+ "learning_rate": 5.6410256410256414e-05,
676
+ "loss": 0.0559,
677
+ "step": 980
678
+ },
679
+ {
680
+ "epoch": 10.88,
681
+ "learning_rate": 5.494505494505495e-05,
682
+ "loss": 0.0889,
683
+ "step": 990
684
+ },
685
+ {
686
+ "epoch": 10.99,
687
+ "learning_rate": 5.347985347985348e-05,
688
+ "loss": 0.0576,
689
+ "step": 1000
690
+ },
691
+ {
692
+ "epoch": 10.99,
693
+ "eval_accuracy": 0.7823529411764706,
694
+ "eval_loss": 0.8883835673332214,
695
+ "eval_runtime": 1.3691,
696
+ "eval_samples_per_second": 124.171,
697
+ "eval_steps_per_second": 16.069,
698
+ "step": 1000
699
+ },
700
+ {
701
+ "epoch": 11.1,
702
+ "learning_rate": 5.201465201465202e-05,
703
+ "loss": 0.0591,
704
+ "step": 1010
705
+ },
706
+ {
707
+ "epoch": 11.21,
708
+ "learning_rate": 5.054945054945055e-05,
709
+ "loss": 0.0649,
710
+ "step": 1020
711
+ },
712
+ {
713
+ "epoch": 11.32,
714
+ "learning_rate": 4.908424908424908e-05,
715
+ "loss": 0.0425,
716
+ "step": 1030
717
+ },
718
+ {
719
+ "epoch": 11.43,
720
+ "learning_rate": 4.761904761904762e-05,
721
+ "loss": 0.0471,
722
+ "step": 1040
723
+ },
724
+ {
725
+ "epoch": 11.54,
726
+ "learning_rate": 4.615384615384616e-05,
727
+ "loss": 0.0366,
728
+ "step": 1050
729
+ },
730
+ {
731
+ "epoch": 11.65,
732
+ "learning_rate": 4.4688644688644696e-05,
733
+ "loss": 0.0414,
734
+ "step": 1060
735
+ },
736
+ {
737
+ "epoch": 11.76,
738
+ "learning_rate": 4.322344322344323e-05,
739
+ "loss": 0.0393,
740
+ "step": 1070
741
+ },
742
+ {
743
+ "epoch": 11.87,
744
+ "learning_rate": 4.1758241758241765e-05,
745
+ "loss": 0.0551,
746
+ "step": 1080
747
+ },
748
+ {
749
+ "epoch": 11.98,
750
+ "learning_rate": 4.0293040293040296e-05,
751
+ "loss": 0.0503,
752
+ "step": 1090
753
+ },
754
+ {
755
+ "epoch": 12.09,
756
+ "learning_rate": 3.8827838827838833e-05,
757
+ "loss": 0.0442,
758
+ "step": 1100
759
+ },
760
+ {
761
+ "epoch": 12.09,
762
+ "eval_accuracy": 0.788235294117647,
763
+ "eval_loss": 0.896532416343689,
764
+ "eval_runtime": 1.5128,
765
+ "eval_samples_per_second": 112.377,
766
+ "eval_steps_per_second": 14.543,
767
+ "step": 1100
768
+ },
769
+ {
770
+ "epoch": 12.2,
771
+ "learning_rate": 3.7362637362637365e-05,
772
+ "loss": 0.0595,
773
+ "step": 1110
774
+ },
775
+ {
776
+ "epoch": 12.31,
777
+ "learning_rate": 3.58974358974359e-05,
778
+ "loss": 0.0304,
779
+ "step": 1120
780
+ },
781
+ {
782
+ "epoch": 12.42,
783
+ "learning_rate": 3.443223443223443e-05,
784
+ "loss": 0.0365,
785
+ "step": 1130
786
+ },
787
+ {
788
+ "epoch": 12.53,
789
+ "learning_rate": 3.296703296703297e-05,
790
+ "loss": 0.0917,
791
+ "step": 1140
792
+ },
793
+ {
794
+ "epoch": 12.64,
795
+ "learning_rate": 3.15018315018315e-05,
796
+ "loss": 0.0549,
797
+ "step": 1150
798
+ },
799
+ {
800
+ "epoch": 12.75,
801
+ "learning_rate": 3.0036630036630036e-05,
802
+ "loss": 0.0616,
803
+ "step": 1160
804
+ },
805
+ {
806
+ "epoch": 12.86,
807
+ "learning_rate": 2.857142857142857e-05,
808
+ "loss": 0.0526,
809
+ "step": 1170
810
+ },
811
+ {
812
+ "epoch": 12.97,
813
+ "learning_rate": 2.7106227106227105e-05,
814
+ "loss": 0.0297,
815
+ "step": 1180
816
+ },
817
+ {
818
+ "epoch": 13.08,
819
+ "learning_rate": 2.564102564102564e-05,
820
+ "loss": 0.0409,
821
+ "step": 1190
822
+ },
823
+ {
824
+ "epoch": 13.19,
825
+ "learning_rate": 2.4175824175824177e-05,
826
+ "loss": 0.0254,
827
+ "step": 1200
828
+ },
829
+ {
830
+ "epoch": 13.19,
831
+ "eval_accuracy": 0.788235294117647,
832
+ "eval_loss": 0.9140186905860901,
833
+ "eval_runtime": 1.3923,
834
+ "eval_samples_per_second": 122.1,
835
+ "eval_steps_per_second": 15.801,
836
+ "step": 1200
837
+ },
838
+ {
839
+ "epoch": 13.3,
840
+ "learning_rate": 2.2710622710622712e-05,
841
+ "loss": 0.0373,
842
+ "step": 1210
843
+ },
844
+ {
845
+ "epoch": 13.41,
846
+ "learning_rate": 2.1245421245421246e-05,
847
+ "loss": 0.0325,
848
+ "step": 1220
849
+ },
850
+ {
851
+ "epoch": 13.52,
852
+ "learning_rate": 1.978021978021978e-05,
853
+ "loss": 0.0373,
854
+ "step": 1230
855
+ },
856
+ {
857
+ "epoch": 13.63,
858
+ "learning_rate": 1.8315018315018315e-05,
859
+ "loss": 0.0545,
860
+ "step": 1240
861
+ },
862
+ {
863
+ "epoch": 13.74,
864
+ "learning_rate": 1.6849816849816853e-05,
865
+ "loss": 0.0613,
866
+ "step": 1250
867
+ },
868
+ {
869
+ "epoch": 13.85,
870
+ "learning_rate": 1.5384615384615387e-05,
871
+ "loss": 0.0515,
872
+ "step": 1260
873
+ },
874
+ {
875
+ "epoch": 13.96,
876
+ "learning_rate": 1.391941391941392e-05,
877
+ "loss": 0.0708,
878
+ "step": 1270
879
+ },
880
+ {
881
+ "epoch": 14.07,
882
+ "learning_rate": 1.2454212454212454e-05,
883
+ "loss": 0.0615,
884
+ "step": 1280
885
+ },
886
+ {
887
+ "epoch": 14.18,
888
+ "learning_rate": 1.0989010989010989e-05,
889
+ "loss": 0.0495,
890
+ "step": 1290
891
+ },
892
+ {
893
+ "epoch": 14.29,
894
+ "learning_rate": 9.523809523809523e-06,
895
+ "loss": 0.0426,
896
+ "step": 1300
897
+ },
898
+ {
899
+ "epoch": 14.29,
900
+ "eval_accuracy": 0.788235294117647,
901
+ "eval_loss": 0.927388072013855,
902
+ "eval_runtime": 1.3816,
903
+ "eval_samples_per_second": 123.046,
904
+ "eval_steps_per_second": 15.924,
905
+ "step": 1300
906
+ },
907
+ {
908
+ "epoch": 14.4,
909
+ "learning_rate": 8.058608058608059e-06,
910
+ "loss": 0.0437,
911
+ "step": 1310
912
+ },
913
+ {
914
+ "epoch": 14.51,
915
+ "learning_rate": 6.5934065934065935e-06,
916
+ "loss": 0.028,
917
+ "step": 1320
918
+ },
919
+ {
920
+ "epoch": 14.62,
921
+ "learning_rate": 5.128205128205128e-06,
922
+ "loss": 0.0345,
923
+ "step": 1330
924
+ },
925
+ {
926
+ "epoch": 14.73,
927
+ "learning_rate": 3.663003663003663e-06,
928
+ "loss": 0.0565,
929
+ "step": 1340
930
+ },
931
+ {
932
+ "epoch": 14.84,
933
+ "learning_rate": 2.197802197802198e-06,
934
+ "loss": 0.0758,
935
+ "step": 1350
936
+ },
937
+ {
938
+ "epoch": 14.95,
939
+ "learning_rate": 7.326007326007326e-07,
940
+ "loss": 0.047,
941
+ "step": 1360
942
+ },
943
+ {
944
+ "epoch": 15.0,
945
+ "step": 1365,
946
+ "total_flos": 1.6866433871220326e+18,
947
+ "train_loss": 0.11297949704276773,
948
+ "train_runtime": 502.5996,
949
+ "train_samples_per_second": 43.305,
950
+ "train_steps_per_second": 2.716
951
+ }
952
+ ],
953
+ "max_steps": 1365,
954
+ "num_train_epochs": 15,
955
+ "total_flos": 1.6866433871220326e+18,
956
+ "trial_name": null,
957
+ "trial_params": null
958
+ }